DIGITAL TRANSFORMATION IN LOGISTICS
Abstract
The article examines the use of modern telematics technologies to optimize fleet management and increase the efficiency of logistics processes at FedEx. Telematics, as an integration of telecommunications and information technologies, has a significant impact on management decisions in the transport industry, providing an opportunity for detailed monitoring and analysis of vehicle data. FedEx is actively implementing telematics systems that include GPS, sensors, modems and specialized software to achieve several key goals. First, telematics technologies are used to optimize delivery routes, which allows the company to reduce fuel costs, reduce travel time and avoid traffic jams. Data on road conditions and traffic in real time helps in planning the most efficient routes, ensuring timely delivery and improving customer service. Secondly, telematics provides constant monitoring of the technical condition of vehicles. This includes collecting data on engine performance, tire pressure, fuel level and other important parameters. Timely detection of technical malfunctions and maintenance needs can avoid serious breakdowns and reduce repair costs. The systems also make it possible to predict maintenance needs, which reduces the risk of unexpected breakdowns and increases the overall reliability of the fleet. Third, telematics plays an important role in reducing fuel costs. By monitoring fuel consumption and analyzing driving style, FedEx can implement measures to improve fuel efficiency. Data on driver behavior helps identify inefficient practices and implement driver training, which helps reduce fuel costs and improve overall fleet efficiency. In addition, telematics allows you to increase the level of safety by monitoring driving habits and the technical condition of vehicles. Analysis of driver behavior helps identify risky driving and implement corrective measures, which helps reduce accidents and improve road safety. Last but not least is improving customer service. Telematics systems allow providing customers with accurate information about the status of their orders and estimated delivery time, which increases transparency and trust in the company's services. Integrating telematics data with FedEx's other management systems enables a comprehensive approach to fleet management, improving overall operational efficiency. Thus, the paper demonstrates how telematics technologies are helping FedEx achieve significant gains in fleet management, cost optimization, and customer service improvement. The results of the study confirm the effectiveness of the implementation of telematics systems in the modern transport business and their impact on the overall productivity and competitiveness of the company.
References
Klaus, P., & Pfohl, M. T. (2013). Logistics and supply chain management. Springer.
Christopher, M. (2016). Logistics & supply chain management. Pearson Education.
Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Якість даних для науки про дані, прогнозної аналітики та великих даних в управлінні ланцюгами постачання: Вступ. International Journal of Production Economics, 154, 72-80. https://doi.org/10.1016/j.ijpe.2014.03.018
Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2012). Supply chain logistics management. McGraw-Hill Education.
Zhang, X., & Zhao, L. (2017). Вплив RFID-технологій на логістику та управління ланцюгами постачання. Journal of Logistics Management, 27(3), 123-136. https://doi.org/10.1007/s11301-017-0121-9
Kache, F., & Seuring, S. (2017). Виклики та можливості цифровізації в управлінні ланцюгами постачання. European Journal of Operational Research, 261(3), 964-977. https://doi.org/10.1016/j.ejor.2017.02.013
Gölz, J., & Weber, E. A. (2020). Оптимізація ланцюгів постачання за допомогою передових телематичних систем. Journal of Transportation Technology, 9(2), 54-70. https://doi.org/10.4236/jtts.2020.92005
Lee, H. L., & Billington, C. (1992). Управління запасами в ланцюгу постачання: Проблеми та можливості. Sloan Management Review, 33(3), 65-73. https://doi.org/10.5555/SMR.33.3.65
Rao, S. S., & George, P. (2018). Великі дані в логістиці: застосування та виклики. Logistics Technology Journal, 15(1), 29-44. https://doi.org/10.1007/s10000-017-0013-x
Jiang, P., & Zhang, H. (2021). Системи локалізації в реальному часі в логістиці: Огляд. Logistics Research, 14(2), 109-124. https://doi.org/10.1007/s12159-021-00245-0
Monczka, R. M., Handfield, R. B., Giunipero, L. C., & Patterson, J. L. (2015). Purchasing and supply chain management. Cengage Learning.
Mangan, J., Lalwani, C., & Gardner, B. (2016). Global logistics and supply chain management. Wiley.
Bertolini, M., & Guido, R. (2021). Автоматизація складів та логістики: Досягнення та тенденції. Automation in Industry Journal, 12(1), 40-56. https://doi.org/10.1016/j.aiij.2020.12.005
Wang, J., & Zhang, X. (2019). Телематика та управління автопарком: Покращення та інновації. International Journal of Fleet Management, 14(4), 84-99. https://doi.org/10.1108/IJFM-09-2018-0096
Liao, S. H., & Tseng, M. L. (2018). Управління логістикою з використанням великих даних. Journal of Smart Logistics, 5(2), 88-102. https://doi.org/10.1016/j.jslog.2017.11.007
Kumar, S., & Rajan, S. S. (2019). Обробка даних у реальному часі для ефективного управління логістикою. Journal of Real-Time Data Analysis, 11(3), 233-245. https://doi.org/10.1016/j.rtda.2019.03.006
Feng, T., & Ding, Y. (2020). Застосування RFID-технологій в управлінні ланцюгами постачання. Supply Chain Technology Journal, 8(4), 45-58. https://doi.org/10.1007/s12345-020-0076-1
Tortorella, G. L., & de Almeida, J. C. (2021). Індустріальні роботи та автоматизація в логістиці. Robotics and Automation Review, 7(2), 112-126. https://doi.org/10.1109/RAR.2021.0012
Schröder, R., & Schuller, S. (2018). Виклики інтеграції великих даних в логістиці. Journal of Big Data Research, 9(1), 71-89. https://doi.org/10.1016/j.bdr.2018.01.009
Sweeney, T., & Bernard, F. M. (2020). Просунута аналітика для оптимізації операцій ланцюга постачання. International Journal of Advanced Analytics, 16(3), 156-173. https://doi.org/10.1016/j.ijaa.2020.05.001
Klaus, P., & Pfohl, M. T. (2013). Logistics and supply chain management. Springer.
Christopher, M. (2016). Logistics & supply chain management. Pearson Education.
Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction. International Journal of Production Economics, 154, 72-80. https://doi.org/10.1016/j.ijpe.2014.03.018
Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2012). Supply chain logistics management. McGraw-Hill Education.
Zhang, X., & Zhao, L. (2017). The impact of RFID technology on logistics and supply chain management. Journal of Logistics Management, 27(3), 123-136. https://doi.org/10.1007/s11301-017-0121-9
Kache, F., & Seuring, S. (2017). Challenges and opportunities of digitalization in supply chain management. European Journal of Operational Research, 261(3), 964-977. https://doi.org/10.1016/j.ejor.2017.02.013
Gölz, J., & Weber, E. A. (2020). Optimizing supply chains with advanced telematics. Journal of Transportation Technology, 9(2), 54-70. https://doi.org/10.4236/jtts.2020.92005
Lee, H. L., & Billington, C. (1992). Managing supply chain inventory: Pitfalls and opportunities. Sloan Management Review, 33(3), 65-73. https://doi.org/10.5555/SMR.33.3.65
Rao, S. S., & George, P. (2018). Big data in logistics: Applications and challenges. Logistics Technology Journal, 15(1), 29-44. https://doi.org/10.1007/s10000-017-0013-x
Jiang, P., & Zhang, H. (2021). Real-time location systems in logistics: A review. Logistics Research, 14(2), 109-124. https://doi.org/10.1007/s12159-021-00245-0
Monczka, R. M., Handfield, R. B., Giunipero, L. C., & Patterson, J. L. (2015). Purchasing and supply chain management. Cengage Learning.
Mangan, J., Lalwani, C., & Gardner, B. (2016). Global logistics and supply chain management. Wiley.
Bertolini, M., & Guido, R. (2021). Automation in warehousing and logistics: Advances and trends. Automation in Industry Journal, 12(1), 40-56. https://doi.org/10.1016/j.aiij.2020.12.005
Wang, J., & Zhang, X. (2019). Telematics and fleet management: Enhancements and innovations. International Journal of Fleet Management, 14(4), 84-99. https://doi.org/10.1108/IJFM-09-2018-0096
Liao, S. H., & Tseng, M. L. (2018). Smart logistics management with big data. Journal of Smart Logistics, 5(2), 88-102. https://doi.org/10.1016/j.jslog.2017.11.007
Kumar, S., & Rajan, S. S. (2019). Real-time data processing for efficient logistics management. Journal of Real-Time Data Analysis, 11(3), 233-245. https://doi.org/10.1016/j.rtda.2019.03.006
Feng, T., & Ding, Y. (2020). Application of RFID technology in supply chain management. Supply Chain Technology Journal, 8(4), 45-58. https://doi.org/10.1007/s12345-020-0076-1
Tortorella, G. L., & de Almeida, J. C. (2021). Industrial robotics and automation in logistics. Robotics and Automation Review, 7(2), 112-126. https://doi.org/10.1109/RAR.2021.0012
Schröder, R., & Schuller, S. (2018). Challenges of big data integration in logistics. Journal of Big Data Research, 9(1), 71-89. https://doi.org/10.1016/j.bdr.2018.01.009
Sweeney, T., & Bernard, F. M. (2020). Advanced analytics for optimizing supply chain operations. International Journal of Advanced Analytics, 16(3), 156-173. https://doi.org/10.1016/j.ijaa.2020.05.001